Wang Yayu, Liao Shuilin, Gai Yingbao, Liu Guilin, Jin Tao, Liu Huan, Gram Lone, Strube Mikael Lenz, Fan Guangyi, Sahu Sunil Kumar, Liu Shanshan, Gan Shuheng, Xie Zhangxian, Kong Lingfen, Zhang Pengfan, Liu Xin, Wang Da-Zhi
BGI-Shenzhen, Shenzhen, China.
Department of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark.
Front Microbiol. 2021 Feb 18;12:518865. doi: 10.3389/fmicb.2021.518865. eCollection 2021.
Despite being the world's third largest ocean, the Indian Ocean is one of the least studied and understood with respect to microbial diversity as well as biogeochemical and ecological functions. In this study, we investigated the microbial community and its metabolic potential for nitrogen (N) acquisition in the oligotrophic surface waters of the Indian Ocean using a metagenomic approach. Proteobacteria and Cyanobacteria dominated the microbial community with an average 37.85 and 23.56% of relative abundance, respectively, followed by Bacteroidetes (3.73%), Actinobacteria (1.69%), Firmicutes (0.76%), Verrucomicrobia (0.36%), and Planctomycetes (0.31%). Overall, only 24.3% of functional genes were common among all sampling stations indicating a high level of gene diversity. However, the presence of 82.6% common KEGG Orthology (KOs) in all samples showed high functional redundancy across the Indian Ocean. Temperature, phosphate, silicate and pH were important environmental factors regulating the microbial distribution in the Indian Ocean. The cyanobacterial genus was abundant with an average 17.4% of relative abundance in the surface waters, and while 54 genomes were detected, 53 were grouped mainly within HLII clade. In total, 179 of 234 sequences extracted from the global ocean dataset were clustered into HL clades and exhibited less divergence, but 55 sequences of LL clades presented more divergence exhibiting different branch length. The genes encoding enzymes related to ammonia metabolism, such as urease, glutamate dehydrogenase, ammonia transporter, and nitrilase presented higher abundances than the genes involved in inorganic N assimilation in both microbial community and metagenomic population. Furthermore, genes associated with dissimilatory nitrate reduction, denitrification, nitrogen fixation, nitrification and anammox were absent in metagenome population, i.e., nitrogenase and nitrate reductase. Notably, the biosynthesis pathways of six different amino acids were incomplete in the metagenomic population and genomes, suggesting compensatory uptake of these amino acids from the environment. These results reveal the features of the taxonomic and functional structure of the Indian Ocean microbiome and their adaptive strategies to ambient N deficiency in the oligotrophic ocean.
尽管印度洋是世界第三大洋,但就微生物多样性以及生物地球化学和生态功能而言,它却是研究最少、了解最少的海洋之一。在本研究中,我们采用宏基因组学方法,调查了印度洋贫营养表层水体中的微生物群落及其获取氮(N)的代谢潜力。变形菌门和蓝细菌在微生物群落中占主导地位,相对丰度平均分别为37.85%和23.56%,其次是拟杆菌门(3.73%)、放线菌门(1.69%)、厚壁菌门(0.76%)、疣微菌门(0.36%)和浮霉菌门(0.31%)。总体而言,所有采样站中只有24.3%的功能基因是共有的,这表明基因多样性水平很高。然而,所有样本中82.6%的京都基因和基因组百科全书直系同源基因(KEGG Orthology,KOs)的存在表明,印度洋各地存在高度的功能冗余。温度、磷酸盐、硅酸盐和pH值是调节印度洋微生物分布的重要环境因素。蓝细菌属在表层水体中含量丰富,相对丰度平均为17.4%,在检测到的54个基因组中,有53个主要归类于HLII进化枝。从全球海洋数据集中提取的234个序列中,共有179个聚类到HL进化枝,且分歧较小,但LL进化枝的55个序列分歧较大,呈现出不同的分支长度。在微生物群落和宏基因组种群中,编码与氨代谢相关酶的基因,如脲酶、谷氨酸脱氢酶、氨转运蛋白和腈水解酶,其丰度高于参与无机氮同化的基因。此外,宏基因组种群中不存在与异化硝酸盐还原、反硝化作用、固氮作用、硝化作用和厌氧氨氧化相关的基因,即固氮酶和硝酸盐还原酶。值得注意的是,在宏基因组种群和基因组中,六种不同氨基酸的生物合成途径是不完整的,这表明这些氨基酸是从环境中补偿性摄取的。这些结果揭示了印度洋微生物群落的分类和功能结构特征,以及它们在贫营养海洋中对环境氮缺乏的适应策略。